The Azure ML sample experiments and which components appear in each. The Azure ML service doesn't support PMML model export, so this was produced "by hand". Sample Experiment: Sample1 Download Data Uses: Reader Descriptive Stats Sample Experiment: Sample 2 Dataset Processing And Analysis Uses: Reader Metadata Editor Missing Values Scrubber Descriptive Stats Linear Correlation Sample 3: Cross Validation for Binary Classification Uses: Adult Census Income Binary Classification Partition and Sample Missing Values Two-Class Averaged Percptron Two-Class Boosted Decision Tree Two-Class Logistic Regression Two-Class SVM Cross Validate Model Convert to CSV Sample 4: Cross Validation for Regression: Auto Automobile price data (Raw) Missing Values Scrubber Linear Regression Boosted Decision Tree Regression Poisson Regression Cross Validate Model Sample 5: Train, Test, Evaluate for Binary Classification: Adult Dataset Adult Census Income Binary Classification Missing Values Scrubber Project Columns Two-Class Boosted Decision Tree Split Score Model Evaluate Model Sample 6: Train, Test, Evaluate for Regression: Auto Imports Dataset Automobile price data (Raw) Missing Values Scrubber Project Columns Poisson Regression Decision Forest Regression Train Model Score Model Evaluate Model Sample 7 - Evaluate for Multiclass Classification: Letter Recognition Dataset Reader Split Two-Class SVM One-vs-All Multiclass Multiclass Decision Jungle Train Model Score Model Evaluate Model Sample Experiment: Recommender System Matchbox Recommender Uses: Restaurant ratings Restaurant customer data Restaurant feature data Split Project Columns Train Model Score Model Evaluate Model Sample Experiment - Student Performance - Development Reader Metadata Editor Project Columns Missing Values Scrubber Execute R Script Apply Math Operation Join Split Two-Class Boosted Decision Tree Train Model Score Model Elementary Statistics Add Rows Sample Experiment - Breast Cancer Data - Development Uses: Breast Cancer Info Breast Cancer Features Project Columns Metadata Editor Split Add Columns Remove Duplicate Rows Join Add Rows Two-Class Boosted Decision Tree Execute R Script Quantize Indicator Values Train Model Score Model Sample Experiment - Sentiment Classification - Development Uses: Book Reviews From Amazon Metadata Editor Feature Hashing Project Columns Split Two-Class Logistic Regression Ordinal Regression Boosted Decision Tree Regression Multiclass Logistic Regression Train Model Score Model Evaluate Model Clip Values Apply Math Operation Elementary Statistics Add Columns Add Rows Sample Experiment - Ranking of Movie Tweets According to their Future Popularity - Development Uses: Movie Tweets IMDB Movie Titles Execute R Script Remove Duplicate Rows Metadata Editor Split Boosted Decision Tree Regression Train Model Score Model Quantize Execute R Script Join Sample Experiment - Direct Marketing - Development - Training Uses: Reader Metadata Editor Project Columns Split Two-Class Boosted Decision Trees Two-Class SVM Sweep Parameters Score Model Evaluate Model Apply Math Operation Indicator Values Add Columns Execute R Script Sample Experiment - News Categorization - Development Uses: Reader Metadata Editor Split Join Feature Hashing Project Columns Two-Class Decision Forest Multiclass Decision Forest One-vs-All Multiclass Train Model Score Model Evaluate Model Execute R Script Sample Experiment - German Credit - Development German Credit Card UCI Data Metadata Editor Descriptive Statistics Split Execute R Script Normalize Data Two-Class SVM Two-Class Boosted Decision Tree Score Model Train Model Evaluate Model Add Rows Execute R Script Project Columns Sample Experiment: Named Entity Recognition Named Entity Recognition Sample Named Entity Recognition Sample Experiment: Color Quantization Using K-Means Clustering Bill Gates RGB Image K-Means Clustering Train Clustering Model Execute R Script Join Apply Math Operation Project Columns Elementary Statistics Convert to CSV Add Rows Color-Based Image Compression using K-Means Clustering - Development Bill Gates RGB Image K-Means Clustering Train Clustering Model Execute R Script Join Project Columns Convert to CSV Sample Experiment: Split, Partition and Sample System Adult Census Income Binary Classification Partition And Sample Split Sample Experiment - Flight Delay Prediction - Development Flight Delays Data Weather Data Convert to Dataset Project Columns Metadata Editor Apply Math Operation Join Split Quantize Apply Quantization Function Two-Class Logistic Regression Two-Class Boosted Decision Trees Sweep Parameters Airport Codes Dataset Score Model Evaluate Model Sample Experiments - CRM - Development CRM Dataset Shared CRM Updating Labels Shared CRM Appetency Labels Shared CRM Churn Labels Convert to Dataset Apply Math Operation Missing Values Scrubber Add Columns Split Execute R Script Two-Class Boosted Decision Trees Train Model Score Model Evaluate Model Time Series Forecasting - Development Time Series Dataset Metadata Editor Split Execute R Script Join Add Rows Movie Recommender - Development Movie Ratings IMDB Movie Titles Project Columns Split Train Matchbox Recommender Score Matchbox Recommender Evaluate Recommender Join S & P 500 Company Clustering - Development Wikipedia SP 500 Dataset Feature Hashing Execute R Script K-Means Clustering Train Clustering Model Metadata Editor Convert to CSV Sample Experiment - Demand Forecasting of Bikes Bike Rental UCI dataset Metadata Editor Project Columns Split Boosted Decision Tree Regression Train Model Score Model Execute R Script Evaluate Model Add Rows Sample Experiment - Network Intrusion Detection - Development Reader Metadata Editor Indicator Values Project Columns Filter Based Feature Selection Split Two-Class Logistic Regression Two-Class Boosted Decision Trees Sweep Parameters Score Model Evaluate Model